Articles with public access mandates - Jeroen van der LaakLearn more
OverallEuropean CommissionKWFNWONIHKnut and Alice Wallenberg FoundationCancer Research UKEPSRCDoDNIHRVASusan G. KomenNHMRCFraunhofer-GesellschaftHEASFIMRCZonMwANRBMBFSCLSNSFCCSBreast Cancer Now, UKWorldwide Cancer Research, UKSCFFWODFGAcademy of FinlandSwedish Research CouncilWellcomeUK Research & InnovationVinnova, SwedenRoyal Society UK
Not available anywhere: 4
Automatic detection of tumor budding in colorectal carcinoma with deep learning
JM Bokhorst, L Rijstenberg, D Goudkade, I Nagtegaal, J van der Laak, ...
Computational Pathology and Ophthalmic Medical Image Analysis: First …, 2018
Mandates: Dutch Cancer Society
A generic nuclei detection method for histopathological breast images
H Kost, A Homeyer, P Bult, MCA Balkenhol, JAWM van der Laak, ...
Medical Imaging 2016: Digital Pathology 9791, 354-360, 2016
Mandates: Fraunhofer-Gesellschaft
Towards spatial correspondence between specimen and in-vivo breast imaging
T Mertzanidou, J Hipwell, M Dalmis, B Platel, J van der Laak, R Mann, ...
Breast Imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan …, 2014
Mandates: UK Engineering and Physical Sciences Research Council
Minimum slice spacing required to reconstruct 3D shape for serial sections of breast tissue for comparison with medical imaging
S Reis, B Eiben, T Mertzanidou, J Hipwell, M Hermsen, J Van Der Laak, ...
Medical Imaging 2015: Digital Pathology 9420, 124-136, 2015
Mandates: UK Engineering and Physical Sciences Research Council
Available somewhere: 85
A survey on deep learning in medical image analysis
G Litjens, T Kooi, BE Bejnordi, AAA Setio, F Ciompi, M Ghafoorian, ...
Medical image analysis 42, 60-88, 2017
Mandates: Dutch Cancer Society
Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
W Bulten, H Pinckaers, H van Boven, R Vink, T de Bel, B van Ginneken, ...
The Lancet Oncology 21 (2), 233-241, 2020
Mandates: Dutch Cancer Society
Deep learning in histopathology: the path to the clinic
J Van der Laak, G Litjens, F Ciompi
Nature medicine 27 (5), 775-784, 2021
Mandates: Netherlands Organisation for Scientific Research, Knut and Alice Wallenberg …
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
D Tellez, G Litjens, P Bándi, W Bulten, JM Bokhorst, F Ciompi, ...
Medical image analysis 58, 101544, 2019
Mandates: European Commission, Dutch Cancer Society
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
W Bulten, K Kartasalo, PHC Chen, P Ström, H Pinckaers, K Nagpal, Y Cai, ...
Nature medicine 28 (1), 154-163, 2022
Mandates: Academy of Finland, Netherlands Organisation for Scientific Research …
Deep learning–based histopathologic assessment of kidney tissue
M Hermsen, T de Bel, M Den Boer, EJ Steenbergen, J Kers, S Florquin, ...
Journal of the American Society of Nephrology 30 (10), 1968-1979, 2019
Mandates: European Commission
Neural image compression for gigapixel histopathology image analysis
D Tellez, G Litjens, J Van der Laak, F Ciompi
IEEE transactions on pattern analysis and machine intelligence 43 (2), 567-578, 2019
Mandates: European Commission, Dutch Cancer Society
The importance of stain normalization in colorectal tissue classification with convolutional networks
F Ciompi, O Geessink, BE Bejnordi, GS De Souza, A Baidoshvili, G Litjens, ...
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
Mandates: Dutch Cancer Society
Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies
B Ehteshami Bejnordi, M Mullooly, RM Pfeiffer, S Fan, PM Vacek, ...
Modern Pathology 31 (10), 1502-1512, 2018
Mandates: US National Institutes of Health
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard
W Bulten, P Bándi, J Hoven, R Loo, J Lotz, N Weiss, J Laak, B Ginneken, ...
Scientific reports 9 (1), 864, 2019
Mandates: Dutch Cancer Society
Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer
Z Kos, E Roblin, RS Kim, S Michiels, BD Gallas, W Chen, KK van de Vijver, ...
NPJ breast cancer 6 (1), 17, 2020
Mandates: US Department of Defense, US National Institutes of Health, US Department of …
HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images
M Van Rijthoven, M Balkenhol, K Siliņa, J Van Der Laak, F Ciompi
Medical image analysis 68, 101890, 2021
Mandates: European Commission, Dutch Cancer Society
Learning to detect lymphocytes in immunohistochemistry with deep learning
Z Swiderska-Chadaj, H Pinckaers, M Van Rijthoven, M Balkenhol, ...
Medical image analysis 58, 101547, 2019
Mandates: Netherlands Organisation for Scientific Research, European Commission, Dutch …
Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists
W Bulten, M Balkenhol, JJA Belinga, A Brilhante, A Çakır, L Egevad, ...
Modern Pathology 34 (3), 660-671, 2021
Mandates: US National Institutes of Health, Dutch Cancer Society
Report on computational assessment of tumor infiltrating lymphocytes from the International Immuno-Oncology Biomarker Working Group
M Amgad, ES Stovgaard, E Balslev, J Thagaard, W Chen, S Dudgeon, ...
NPJ breast cancer 6 (1), 16, 2020
Mandates: US Department of Defense, US National Institutes of Health, US Department of …
Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer
OGF Geessink, A Baidoshvili, JM Klaase, B Ehteshami Bejnordi, ...
Cellular oncology 42, 331-341, 2019
Mandates: Dutch Cancer Society
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